Simple Neural Application

A simple wrapper to easily design vanilla deep neural networks using 'Tensorflow'/'Keras' backend for regression, classification and multi-label tasks, with some tweaks and tricks (skip shortcuts, embedding, feature selection and anomaly detection).


Reference manual

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1.1.0 by Giancarlo Vercellino, 7 months ago

Browse source code at

Authors: Giancarlo Vercellino

Documentation:   PDF Manual  

GPL-3 license

Imports keras, tensorflow, dplyr, purrr, forcats, tictoc, readr, ggplot2, CORElearn, dbscan, stringr, reticulate

See at CRAN